{"id":"W4252454430","doi":"10.1088/1757-899x/1102/1/011001","title":"Preface","year":2021,"lang":"en","type":"article","venue":"IOP Conference Series Materials Science and Engineering","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Presentation (obstetrics); Prosperity; China; Library science; Political science; Media studies; Engineering; Sociology; Medicine; Law; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001657503,0.0001123318,0.0001160811,0.00006658106,0.00008282653,0.0003351052,0.0001178471,0.0000304001,0.0001831403],"category_scores_gemma":[0.00004703243,0.000116466,0.000007334639,0.0002903808,0.00007998851,0.0006949943,0.00006917182,0.00003744647,0.0000114457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002371314,"about_ca_system_score_gemma":0.00004073438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001554194,"about_ca_topic_score_gemma":0.000002285701,"domain_scores_codex":[0.9992877,0.000003471309,0.0001255172,0.0001733447,0.0001666594,0.0002432734],"domain_scores_gemma":[0.9996743,0.00000571772,0.0000106863,0.0001348933,0.0001085916,0.00006583735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001917449,0.000003183972,0.000007129203,0.0001347178,0.000006480095,0.000008289201,0.0002613639,0.04977059,0.9372786,0.0104681,0.0001083925,0.001951195],"study_design_scores_gemma":[0.0001154201,0.0000162608,0.001337197,0.00005829006,0.000008904165,0.00002051106,0.0002389123,0.06191061,0.9293745,0.0000641609,0.006568434,0.00028679],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815938,0.0001384099,0.01053039,0.0001400582,0.001006483,0.00008776702,0.000005814296,0.0005128059,0.005984512],"genre_scores_gemma":[0.9958747,0.0003391715,0.003463768,0.00001606053,0.00004793698,0.000009442479,0.000005809597,0.00001203557,0.0002310661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01428095,"threshold_uncertainty_score":0.4749347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0093984495175023,"score_gpt":0.1840239377429659,"score_spread":0.1746254882254636,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}